• DocumentCode
    1872033
  • Title

    Interpretation of digital partial discharge measurements

  • Author

    Fruth, B. ; Gross, Dominic

  • Author_Institution
    Power Diagnostix Syst. GmbH, Aachen, Germany
  • fYear
    1996
  • fDate
    35117
  • Firstpage
    42430
  • Lastpage
    42432
  • Abstract
    The presence of partial discharges is one of the most prominent indicators of defects and ongoing degradation processes in electrical insulation systems. On-line partial discharge measurements provide information about progressing degradation under operational stress or defects which are only excited by the operational stress (e.g. vibration of e.g. motors). Thus, a complementary insight in the state of the apparatus can be gained which is not accessible through off-line testing. Provided a “diagnostic connector” or sensor is integrated into or attached to the high voltage system, periodic measurements, trend recording or even on-line monitoring becomes possible. Digital partial discharge measurements with enhanced signal conditioning techniques allow better visualization and interpretation of data in terms of risk and defect type and provide better noise reduction and identification capabilities. They are not only applied to the R&D environment, but are today used in quality assurance and online situations. The interpretation of digital pd measurements not only includes the defect assessment (physics of partial discharge) but also an identification of noise sources and non-pd signals. These “interpretations” lead to a choice of sensors and signal processing techniques to be chosen from a so-called toolbox which serves to optimize the measurement procedures
  • Keywords
    electric sensing devices; high-voltage techniques; insulation testing; partial discharges; random noise; signal processing; defect assessment; defects; degradation processes; diagnostic connector; digital partial discharge measurements; electrical insulation systems; enhanced signal conditioning techniques; high voltage system; motors; noise reduction; noise sources; on-line monitoring; on-line partial discharge measurements; operational stress; quality assurance; sensors;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    PD Display Systems and Analytical Software, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19960232
  • Filename
    543319